Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation.
Vladimir KuzmanovskiJaakko HollménPublished in: DS (2022)
Keyphrases
- random forests
- semi parametric
- high dimensional
- regression problems
- statistical inference
- random forest
- logistic regression
- ensemble methods
- decision trees
- machine learning algorithms
- density estimation
- regression model
- least squares
- low dimensional
- bayesian inference
- maximum likelihood
- model selection
- dimensionality reduction
- bayesian networks
- genetic algorithm
- feature space
- prediction accuracy
- naive bayes
- nearest neighbor
- data points
- machine learning
- input space
- training samples
- genetic programming
- linear model
- constrained optimization
- learning algorithm